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Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging
In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069262/ https://www.ncbi.nlm.nih.gov/pubmed/33918935 http://dx.doi.org/10.3390/s21082649 |
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author | Takamatsu, Toshihiro Kitagawa, Yuichi Akimoto, Kohei Iwanami, Ren Endo, Yuto Takashima, Kenji Okubo, Kyohei Umezawa, Masakazu Kuwata, Takeshi Sato, Daiki Kadota, Tomohiro Mitsui, Tomohiro Ikematsu, Hiroaki Yokota, Hideo Soga, Kohei Takemura, Hiroshi |
author_facet | Takamatsu, Toshihiro Kitagawa, Yuichi Akimoto, Kohei Iwanami, Ren Endo, Yuto Takashima, Kenji Okubo, Kyohei Umezawa, Masakazu Kuwata, Takeshi Sato, Daiki Kadota, Tomohiro Mitsui, Tomohiro Ikematsu, Hiroaki Yokota, Hideo Soga, Kohei Takemura, Hiroshi |
author_sort | Takamatsu, Toshihiro |
collection | PubMed |
description | In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues. |
format | Online Article Text |
id | pubmed-8069262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80692622021-04-26 Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging Takamatsu, Toshihiro Kitagawa, Yuichi Akimoto, Kohei Iwanami, Ren Endo, Yuto Takashima, Kenji Okubo, Kyohei Umezawa, Masakazu Kuwata, Takeshi Sato, Daiki Kadota, Tomohiro Mitsui, Tomohiro Ikematsu, Hiroaki Yokota, Hideo Soga, Kohei Takemura, Hiroshi Sensors (Basel) Communication In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues. MDPI 2021-04-09 /pmc/articles/PMC8069262/ /pubmed/33918935 http://dx.doi.org/10.3390/s21082649 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Takamatsu, Toshihiro Kitagawa, Yuichi Akimoto, Kohei Iwanami, Ren Endo, Yuto Takashima, Kenji Okubo, Kyohei Umezawa, Masakazu Kuwata, Takeshi Sato, Daiki Kadota, Tomohiro Mitsui, Tomohiro Ikematsu, Hiroaki Yokota, Hideo Soga, Kohei Takemura, Hiroshi Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging |
title | Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging |
title_full | Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging |
title_fullStr | Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging |
title_full_unstemmed | Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging |
title_short | Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging |
title_sort | over 1000 nm near-infrared multispectral imaging system for laparoscopic in vivo imaging |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069262/ https://www.ncbi.nlm.nih.gov/pubmed/33918935 http://dx.doi.org/10.3390/s21082649 |
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